A.M. Liebetrau

About

A.M. Liebetrau is a scholar working on Applied Mathematics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, A.M. Liebetrau has authored 16 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Applied Mathematics, 7 papers in Artificial Intelligence and 5 papers in Statistics and Probability. Recurrent topics in A.M. Liebetrau’s work include Point processes and geometric inequalities (6 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Methods and Inference (3 papers). A.M. Liebetrau is often cited by papers focused on Point processes and geometric inequalities (6 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Methods and Inference (3 papers). A.M. Liebetrau collaborates with scholars based in United States. A.M. Liebetrau's co-authors include Michael J. Scott, Edward D. Rothman, Ronald D. Sands, David W. Engel, Jae Edmonds, Susan D. Horn, Alan F. Karr and Richard H. Bartels and has published in prestigious journals such as Water Resources Research, Energy Policy and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Co-authorship network of co-authors of A.M. Liebetrau i

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Fields of papers citing papers by A.M. Liebetrau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.M. Liebetrau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by A.M. Liebetrau. The network helps show where A.M. Liebetrau may publish in the future.

Countries citing papers authored by A.M. Liebetrau

Since Specialization

Citations

This map shows the geographic impact of A.M. Liebetrau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by A.M. Liebetrau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.M. Liebetrau more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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